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Record W4392588176 · doi:10.5194/egusphere-egu24-1914

On the analysis of geodetic height changes obtained using different observation techniques at proposed IHRF sites

2024· preprint· en· W4392588176 on OpenAlexaff
Samuel Milki Yadeta, Walyeldeen Godah, Małgorzata Szelachowska, Wojciech Jarmołowski, Paweł Wielgosz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeophysics and Gravity Measurements
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeodetic datumGeodesyRemote sensingComputer scienceGeologyMathematics

Abstract

fetched live from OpenAlex

The determination of geodetic heights with high accuracy is one of the main tasks in geodesy. In 2015, a resolution for definition of International Height Reference System (IHRS) and its realization by International Height Reference Frame (IHRF) was released by the International Association of Geodesy (IAG). In the recent few years, intensive efforts have been devoted to develop the IHRF and its temporal changes. The main goal of the proposed study is to analyze temporal variations of geodetic height changes at the locations of proposed IHRF sites using data from Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) satellite missions, tide gauges, and space geodetic techniques, i.e. GNSS, SLR, VLBI, and DORIS.Monthly GRACE/GRACE-FO-based Global Geopotential Models were utilized to estimate temporal variations of ellipsoidal height at proposed IHRF sites. Moreover, geodetic height changes were obtained from the aforementioned space geodetic techniques and tide gauge stations that co-located with the proposed IHRF sites. Then, the seasonal decomposition method and Discrete Fourier Transform were implemented to analyze time series of obtained geodetic height change. Based on the results, seasonal and long-term components of geodetic height variations at the proposed IHRF sites were determined, analyzed, and discussed according to the contemporary requirements for the definition of the IHRF, as well as the precise levelling measurements.Keywords: GRACE/GRACE-FO satellite missions, space geodetic techniques, tide gauge, reference system/frame, geodetic height

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.255
Teacher spread0.175 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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